Towards Flexibility and Dynamic Coordination in Computer-Interpretable Enterprise Process Models

We contribute to the understanding of collaboration in enterprise process models and adaptation to unforeseen variations thereof. To address the need for flexibility we take an example from the life-saving domain and translate qualitatively collected process data of a concrete medical intervention into a computer-interpretable guideline model. To overcome implementation barriers we apply the coordination modeling language Paradigm, as a possible approach, which addresses coordination of collaborating components in terms of dynamic constraints. Its component McPal enables adding new behavior, and, subsequently, gradually adapting the system without quiescence.

[1]  Antonio Moreno,et al.  Computer-based execution of clinical guidelines: A review , 2008, Int. J. Medical Informatics.

[2]  A. Stinchcombe.  Information and Organizations , 2019 .

[3]  Laura Giordano,et al.  Model Checking for Clinical Guidelines: an Agent-based Approach , 2006, AMIA.

[4]  John Fox,et al.  Safe and sound - artificial intelligence in hazardous applications , 2000 .

[5]  Erik P. de Vink,et al.  Formalizing Adaptation On-the-Fly , 2009, FOCLASA.

[6]  David Glasspool,et al.  A goal-oriented framework for specifying clinical guidelines and handling medical errors , 2010, J. Biomed. Informatics.

[7]  M. Feldman,et al.  Reconceptualizing Organizational Routines as a Source of Flexibility and Change , 2003 .

[8]  Martha S. Feldman,et al.  Narrative Networks: Patterns of Technology and Organization , 2007, Organ. Sci..

[9]  Mor Peleg,et al.  Design patterns for clinical guidelines , 2009, Artif. Intell. Medicine.

[10]  Erik P. de Vink,et al.  Dynamic consistency in process algebra: From Paradigm to ACP , 2011, Sci. Comput. Program..

[11]  Samson W. Tu,et al.  The SAGE Guideline Modeling: Motivation and Methodology , 2004, CGP.

[12]  Jan Mendling,et al.  A Study Into the Factors That Influence the Understandability of Business Process Models , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[13]  William DuMouchel,et al.  A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory setting. , 1996, Journal of the American Medical Informatics Association : JAMIA.

[14]  Jochen Malte Küster,et al.  Consistency management of object oriented behavioral models , 2004 .

[15]  F A Sonnenberg,et al.  Computer-Interpretable Clinical Practice Guidelines , 2006, Yearbook of Medical Informatics.

[16]  Wil M. P. van der Aalst,et al.  Declarative and Procedural Approaches for Modelling Clinical Guidelines: Addressing Flexibility Issues , 2007, Business Process Management Workshops.

[17]  Martha S. Feldman,et al.  Designing routines: On the folly of designing artifacts, while hoping for patterns of action , 2008, Inf. Organ..

[18]  B. Pentland,et al.  Organizational Routines as Grammars of Action , 1994 .

[19]  Yuval Shahar,et al.  The Asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines , 1998, Artif. Intell. Medicine.

[20]  Markus C. Becker.  Organizational routines: a review of the literature , 2004 .

[21]  John Fox,et al.  Comparing computer-interpretable guideline models: a case-study approach. , 2003, Journal of the American Medical Informatics Association : JAMIA.

[22]  Omolola Ogunyemi,et al.  GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines , 2004, J. Biomed. Informatics.